引用本文: | 谢李为,曾祥君,柳祎璇.基于VMD-Hilbert变换的故障行波定位研究[J].电力系统保护与控制,2018,46(16):75-81.[点击复制] |
XIE Liwei,ZENG Xiangjun,LIU Yixuan.Research on fault traveling wave location based on VMD-Hilbert transform[J].Power System Protection and Control,2018,46(16):75-81[点击复制] |
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摘要: |
针对现有行波检测方法中小波变换和希尔伯特黄变换的不足,提出一种基于VMD-Hilbert变换的故障行波检测方法。通过对行波传感器采集到的故障行波信号进行VMD分解,利用Hilbert变换提取模态分量的特征量来标定初始波头的到达时间。针对行波定位精度受波速不确定性影响的问题,基于故障初始行波零模分量和线模分量波头的到达时刻,提出一种与波速无关的双端定位算法。ATP/EMTP仿真结果表明,VMD-Hilbert行波检测方法能有效标定行波波头时间,定位算法无需知道故障发生时刻和故障反射行波波头的到达时刻,进一步提高了故障定位的精度。 |
关键词: 行波检测 变分模态分解 行波波速 模分量 故障定位 |
DOI:10.7667/PSPC171211 |
投稿时间:2017-08-12修订日期:2017-10-16 |
基金项目:国家自然科学基金项目(51425701,61233008);国家重点研发计划(2016YFB0900605,2017YFB0902903);湖南省重点研发计划(2016GK2013) |
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Research on fault traveling wave location based on VMD-Hilbert transform |
XIE Liwei,ZENG Xiangjun,LIU Yixuan |
(School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China;School of Economics & Management, Changsha University of Science & Technology, Changsha 410114, China) |
Abstract: |
To solve the shortcomings of wavelet transform and Hilbert Huang Transform (HHT) in fault traveling wave detection methods, a novel fault traveling wave detection based on Variational Mode Decomposition and Hilbert (VMD-Hilbert) transform is proposed. The fault signal collected by travelling sensor is decomposed by VMD and the initial traveling wave arriving time is determined by eigenvalues of modal component extracted by Hilbert transform. To eliminate the uncertainty of fault traveling wave velocity affects the location accuracy, a novel fault location method is proposed based on arriving time of fault initial traveling wave zero mode component and line mode component, which is not affected by traveling wave velocity. Results of ATP/EMTP simulation show that the detection method proposed can effectively determine the traveling wave time and the fault location method dispenses with the time of fault occurrence and arriving time of fault reflecting wave, which improves the location accuracy further. This work is supported by National Natural Science Foundation of China (No. 51425701 and No. 61233008), National Key Research and Development Program of China (No. 2016YFB0900605 and No. 2017YFB0902903), and Hunan Provincial Key Research and Development Program (No. 2016GK2013). |
Key words: traveling wave detection variational mode decomposition traveling wave velocity model components fault location |